An experienced financial and quantitative data analyst with an array of data analysis, engineering and programming skills and strong application experience in a dynamic, fast-paced business environment. Possesses excellent verbal, written, and presentation skills, and the ability to rapidly assimilate and comprehend complex models, analyses, and market conditions. Proven problem solver that leverages wide technical understanding to develop integrated solutions that connect disparate systems.Technical Proficiency:Python, R, Matlab (Assurant, HTL-Strefa): - Forecasting, regression analysis, variable clustering, risk analysis and financial modeling- Miscellaneous data extraction/cleaning/loading techniques, including ODBC links to live database for real-time reporting C++/C# (HTL-Strefa):- created SQL Server Integration Services project (SSIS) with large codebase of C# scripted tasks, including data cleaning, cube migration, and monitoring- C++ for data extraction/financial modeling and large dataset modeling/cleaning- Connected data sources (EDI, inbox) through server with TCP/IP and engineered distribution to network locationsExcel, PowerBI, Sharepoint,Tableau (all):- High competency in VBA excel macros and build intuitive time-savers into everyday worksheets- Experienced Power Pivot user as end point for most data pipeline requests- Built, published & integrated custom dashboards for executives and other key stakeholdersFinancial Modeling, GAAP/IFRS-compliant reporting (HTL-Strefa):- Conduct regular risk analyses on cash flows and assets for shareholders- Produced new managerial P&L, Cash Flows, CapEx and other analyses for new private equity ownershipSeeking internship opportunities in quantitative development, trading, and risk management with particular interest in ForEx and derivatives markets.